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We study the problem of optimal oculomotor control during the execution of visual search tasks. We introduce a computational model of human eye movements, which takes into account various constraints of the human visual and oculomotor…

Neurons and Cognition · Quantitative Biology 2018-08-30 Alexander Yurievich Vasilyev

Humans are remarkably adept at interpreting the gaze direction of other individuals in their surroundings. This skill is at the core of the ability to engage in joint visual attention, which is essential for establishing social…

Neurons and Cognition · Quantitative Biology 2016-11-30 Daniel Harari , Tao Gao , Nancy Kanwisher , Joshua Tenenbaum , Shimon Ullman

Understanding how people allocate visual attention is central to Human-Computer Interaction (HCI), yet existing computational models of attention are often either descriptive, task-specific, or difficult to interpret. My dissertation…

Human-Computer Interaction · Computer Science 2026-03-03 Yunpeng Bai

Real-world scene perception is typically studied in the laboratory using static picture viewing with restrained head position. Consequently, the transfer of results obtained in this paradigm to real-word scenarios has been questioned. The…

Neurons and Cognition · Quantitative Biology 2019-12-16 Daniel Backhaus , Ralf Engbert , Lars Oliver Martin Rothkegel , Hans Arne Trukenbrod

The study of attentional processing in vision has a long and deep history. Recently, several papers have presented insightful perspectives into how the coordination of multiple attentional functions in the brain might occur. These begin…

Artificial Intelligence · Computer Science 2021-01-06 John K. Tsotsos , Omar Abid , Iuliia Kotseruba , Markus D. Solbach

This chapter reviews recent computational models of visual attention. We begin with models for the bottom-up or stimulus-driven guidance of attention to salient visual items, which we examine in seven different broad categories. We then…

Computer Vision and Pattern Recognition · Computer Science 2015-10-28 Laurent Itti , Ali Borji

Some visual search tasks require to memorize the location of stimuli that have been previously scanned. Considerations about the eye movements raise the question of how we are able to maintain a coherent memory, despite the frequent…

Neural and Evolutionary Computing · Computer Science 2016-08-16 Jérémy Fix , Julien Vitay , Nicolas Rougier

Understanding the decision process underlying gaze control is an important question in cognitive neuroscience with applications in diverse fields ranging from psychology to computer vision. The decision for choosing an upcoming saccade…

Neurons and Cognition · Quantitative Biology 2021-01-27 Noa Malem-Shinitski , Manfred Opper , Sebastian Reich , Lisa Schwetlick , Stefan A. Seelig , Ralf Engbert

Popular computational models of visual attention tend to neglect the influence of saccadic eye movements whereas it has been shown that the primates perform on average three of them per seconds and that the neural substrate for the…

Neural and Evolutionary Computing · Computer Science 2008-09-29 Jérémy Fix , Nicolas P. Rougier , Frédéric Alexandre

From smoothly pursuing moving objects to rapidly shifting gazes during visual search, humans employ a wide variety of eye movement strategies in different contexts. While eye movements provide a rich window into mental processes, building…

Machine Learning · Computer Science 2022-12-21 Jason Li , Nicholas Watters , Yingting , Wang , Hansem Sohn , Mehrdad Jazayeri

The eye fixation patterns of human observers are a fundamental indicator of the aspects of an image to which humans attend. Thus, manipulating fixation patterns to guide human attention is an exciting challenge in digital image processing.…

Computer Vision and Pattern Recognition · Computer Science 2017-12-19 Leon A. Gatys , Matthias Kümmerer , Thomas S. A. Wallis , Matthias Bethge

Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse…

Human-Computer Interaction · Computer Science 2023-12-05 Maurice Koch , Kuno Kurzhals , Michael Burch , Daniel Weiskopf

The posterior parietal cortex is believed to direct eye movements, especially in regards to target tracking tasks, and a number of debates exist over the precise nature of the computations performed by the parietal cortex, with each side…

Neural and Evolutionary Computing · Computer Science 2012-10-16 Sacha Sokoloski

The understanding of where humans look in a scene is a problem of great interest in visual perception and computer vision. When eye-tracking devices are not a viable option, models of human attention can be used to predict fixations. In…

Computer Vision and Pattern Recognition · Computer Science 2018-07-30 Dario Zanca , Marco Gori

We study the ability of human observer to control fixation duration during execution of visual search tasks. We conducted the eye-tracking experiments with natural and synthetic images and found the dependency of fixation duration on…

Neurons and Cognition · Quantitative Biology 2020-04-24 Alexander Vasilyev

Human planning is efficient--it frugally deploys limited cognitive resources to accomplish difficult tasks--and flexible--adapting to novel problems and environments. Computational approaches suggest that people construct simplified mental…

Neurons and Cognition · Quantitative Biology 2026-04-27 Jason da Silva Castanheira , Nicholas Shea , Stephen M. Fleming

This work proposes a biologically inspired approach that focuses on attention systems that are able to inhibit or constrain what is relevant at any one moment. We propose a radically new approach to making progress in human-robot joint…

Robotics · Computer Science 2016-06-09 Nick DePalma , Cynthia Breazeal

With an ever-increasing number of mobile devices competing for our attention, quantifying when, how often, or for how long users visually attend to their devices has emerged as a core challenge in mobile human-computer interaction.…

Human-Computer Interaction · Computer Science 2020-04-03 Mihai Bâce , Sander Staal , Andreas Bulling

This paper addresses the challenging problem of estimating the general visual attention of people in images. Our proposed method is designed to work across multiple naturalistic social scenarios and provides a full picture of the subject's…

Computer Vision and Pattern Recognition · Computer Science 2018-07-30 Eunji Chong , Nataniel Ruiz , Yongxin Wang , Yun Zhang , Agata Rozga , James Rehg

Human visual attention is a complex phenomenon. A computational modeling of this phenomenon must take into account where people look in order to evaluate which are the salient locations (spatial distribution of the fixations), when they…

Computer Vision and Pattern Recognition · Computer Science 2020-05-08 Dario Zanca , Stefano Melacci , Marco Gori
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